This project demonstrates how to use LlamaIndex and Spring AI to create generative AI applications, such as chatbots, document summarizers, and content generators.
LlamaIndex is a Python library that enables you to leverage pre-trained language models and augment them with custom data sources, such as documents, databases, or APIs. Spring AI is a Java framework that provides a Spring-friendly API and abstractions for developing AI applications, such as ChatClient, VectorStore, and DocumentReader.
To install this project, you need to have Python 3.8+, Java 11+, and Maven 3.6+ installed on your system. Then, follow these steps:
- Clone this repository:
git clone https://github.com/PraveenKS30/GenerativeAI.git
To run this project, you need to have an OpenAI API key.Set the following environment variables:
OPENAI_API_KEY: Your OpenAI API key
You can also use a .env file to store these variables.
To start the Spring Boot application, run: mvn spring-boot:run
To start the Streamlit web interface, run: streamlit run app.py
You can then access the web interface at http://localhost:8501 and interact with the generative AI application.
Here is a YouTube video that shows the generative AI application in action:
[https://www.youtube.com/playlist?list=PLO66QfE8gWT3L3SCxIhXxVnKY8153kZJB]
You can also watch these YouTube videos to learn more about LlamaIndex and Spring AI.